Article ID: | iaor1999145 |
Country: | United Kingdom |
Volume: | 35 |
Issue: | 1 |
Start Page Number: | 115 |
End Page Number: | 123 |
Publication Date: | Mar 1998 |
Journal: | Journal of Applied Probability |
Authors: | Schttl A. |
Keywords: | markov processes |
The risk reserve process of an insurance company within a deteriorating Markov-modulated environment is considered. The company invests its capital with interest rate α; the premiums and claims are increasing with rates β and γ. The problem of stopping the process at a random time which maximizes the expected net gain in order to calculate new premiums is investigated. A semimartingale representation of the risk reserve process yields, under certain conditions, an explicit solution of the problem.